PubMed COVID-19 Clinical Care

The threat to global health caused by three highly pathogenic human coronaviruses (HCoV), SARS-CoV-2, MERS-CoV and SARS-CoV, calls for the development of pan-HCoV therapeutics and vaccines. This study reports the design and engineering of a

No abstract

From the outset of the pandemic, Swiss federal authorities implemented numerous public health measures to contain the spread of SARS-CoV-2. In southern Switzerland, Canton Ticino legislated additional measures, some of which specifically targeted

CONCLUSIONS: These findings highlighted that some differences exist between a planned remote working condition and a mandatory one in an emergency. We briefly discuss these aspects to inform future organizational decisions and actions for the 'new

SARS-CoV-2 has mutated rapidly since its first case report in Wuhan, China, leading to the emergence of an indefinite number of variants. India has witnessed three waves of the COVID-19 pandemic. The country saw its first wave of SARS-CoV-2 illness

CONCLUSION: Although the number of included studies was minimal, this meta-analysis suggests that NAC may have a positive effect on COVID-19 outcomes, specifically, a significant decrease in CRP and D-dimer levels and a significant increase in oxygen

INTRODUCTION: This study explored the differences in clinical characteristics between the 2009 pandemic influenza A (H1N1) and SARS-CoV-2 BA.2 variant (Omicron) infections in patients younger than age 65 years, to improve identification of these

CONCLUSION: Our data can be used to help guide pharmacist-led targeted outreach in our community which will help mitigate Covid-19 pandemic-driven changes in behaviors associated with worse cancer outcomes and exacerbation of cancer health

Background COVID-19-appropriate behavior has been recommended by the Government of India to reduce the spread of the disease. However, a lack of awareness, inadequate knowledge, or improper practices regarding personal protective measures have

The present research deals with sentiment analysis performed with Microsoft Azure Machine Learning Studio to classify Facebook posts on the Greek National Public Health Organization (EODY) from November 2021 to January 2022 during the pandemic